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In this paper, we develop deep spatio-temporal neural networks to sequentially count vehicles from low quality videos captured by city cameras (citycams).
Long short-term memory
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R. Cucchiara, C. Grana, M. Piccardi, and A. Prati · 2000
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Highway traffic information extraction from skycam mpeg video
X.-D. Yu, L.-Y. Duan, and Q. Tian · 2002
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A survey of video processing techniques for traffic applications
V. Kastrinaki, M. Zervakis, and K. Kalaitzakis · 2003
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Distinctive image features from scale-invariant keypoints
D. G. Lowe · 2004
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Face recognition using kernel ridge regression
S. An, W. Liu, and S. Venkatesh · 2007
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Privacy preserving crowd monitoring: Counting people without people models or tracking
A. B. Chan, Z.-S. J. Liang, and N. Vasconcelos · 2008
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VLFeat: An open and portable library of computer vision algorithms, 2008
A. Vedaldi and B. Fulkerson · 2008
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Introduction to modern traffic flow theory and control: the long road to three-phase traffic theory
B. S. Kerner · 2009
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Traffic analysis with low frame rate camera networks
T. E. Choe, M. W. Lee, and N. Haering · 2010
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Vehicles detection in traffic flow
G. Mo and S. Zhang · 2010
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Learning to count objects in images
A. Z. V. Lempitsky · 2010
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Sequential deep learning for human action recognition
M. Baccouche, F. Mamalet, C. Wolf, C. Garcia, and A. Baskurt · 2011
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A real-time vision system for nighttime vehicle detection and traffic surveillance
Y.-L. Chen, B.-F. Wu, H.-Y. Huang, and C.-J. Fan · 2011
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Spatial and temporal analysis of planet scale vehicular imagery data
G. S. Thakur, P. Hui, H. Ketabdar, and A. Helmy · 2011
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Feature mining for localised crowd counting
K. Chen, C. C. Loy, S. Gong, and T. Xiang · 2012
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Vehicle detection, tracking and classification in urban traffic
Z. Chen, T. Ellis, and S. A. Velastin · 2012
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Image processing based intelligent traffic controller
V. Dangi, A. Parab, K. Pawar, and S. Rathod · 2012
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Real-time traffic congestion detection based on video analysis
S. Hua, J. Wua, and L. Xub · 2012
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Efficient foreground extraction based on optical flow and smed for road traffic analysis
K. SuganyaDevi, N. Malmurugan, and R. Sivakumar · 2012
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Modeling and characterization of urban vehicular mobility using web cameras
G. S. Thakurzx, P. Huiz, and A. Helmyx · 2012
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Model based vehicle localization for urban traffic surveillance using image gradient based matching
Y. Zheng and S. Peng · 2012
Long-term recurrent convolutional networks for visual recognition and description
J. Donahue, L. Anne Hendricks, S. Guadarrama, M. Rohrbach, S. Venugopalan, K. Saenko, and T. Darrell · 2015
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Extremely overlapping vehicle counting
R. Guerrero-Gómez-Olmedo, B. Torre-Jiménez, R. López-Sastre, S. Maldonado-Bascón, and D. Onoro-Rubio · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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Traffic flow from a low frame rate city camera
E. Toropov, L. Gui, S. Zhang, S. Kottur, and J. M. F. Moura · 2015
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Cross-scene crowd counting via deep convolutional neural networks
C. Zhang, H. Li, X. Wang, and X. Yang · 2015
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Counting in the wild
C. Arteta, V. Lempitsky, and A. Zisserman · 2016
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Cumulative attribute space for age and crowd density estimation
K. Chen, S. Gong, T. Xiang, and C. Change Loy · 2013
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Generating sequences with recurrent neural networks
A. Graves · 2013
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Traffic jam detection using image processing
U. Nagaraj, J. Rathod, P. Patil, S. Thakur, and U. Sharma · 2013
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On the difficulty of training recurrent neural networks
R. Pascanu, T. Mikolov, and Y. Bengio · 2013
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Intelligent moving objects detection via adaptive frame differencing method
C.-M. Tsai and Z.-M. Yeh · 2013
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Neural machine translation by jointly learning to align and translate
D. Bahdanau, K. Cho, and Y. Bengio · 2014
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L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2016
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Real-time road traffic density estimation using block variance
K. Garg, S.-K. Lam, T. Srikanthan, and V. Agarwal · 2016
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Phased lstm: Accelerating recurrent network training for long or event-based sequences
D. Neil, M. Pfeiffer, and S.-C. Liu · 2016
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Towards perspective-free object counting with deep learning
D. Onoro-Rubio and R. J. López-Sastre · 2016
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Cnn-rnn: A unified framework for multi-label image classification
J. Wang, Y. Yang, J. Mao, Z. Huang, C. Huang, and W. Xu · 2016
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Deep spatio-temporal residual networks for citywide crowd flows prediction
J. Zhang, Y. Zheng, and D. Qi · 2016
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Single-image crowd counting via multi-column convolutional neural network
Y. Zhang, D. Zhou, S. Chen, S. Gao, and Y. Ma · 2016
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Crossing-line crowd counting with two-phase deep neural networks
Z. Zhao, H. Li, R. Zhao, and X. Wang · 2016
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Understanding traffic density from large-scale web camera data
S. Zhang, G. Wu, J. P. Costeira, and J. M. F. Moura · 2017
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